Robust Adaptive Array Beamforming Based on Independent Component Analysis with Regularized Constraints(Antennas and Propagation)
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概要
- 論文の詳細を見る
This paper deals with adaptive array beamforming based on stochastic gradient descent independent component analysis (ICA) for suppressing interference with robust capabilities. The approach first uses estimates of the interested source directions to construct the multiple regularized constraints, which form an efficient ICA-based beamformer to achieve fast convergence and more robust capabilities than existing MCMV and ESB beamformers. In conjunction with the regularization parameters of the high-order derivative constraints, the width of the main beam for remaining the desired signal and the depth of nulls for suppressing interferers can be adjusted. Several computer simulation examples are provided for illustration and comparison.
- 社団法人電子情報通信学会の論文
- 2007-07-01
著者
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Chang Ann-chen
Department Of Electrical Engineering Chung Cheng Institute Of Technology National Defense University
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Su Ing-jiunn
Department Of Electrical And Electronic Engineering Chung Cheng Institute Of Technology National Def
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JEN Chih-Wei
Department of Electrical and Electronic Engineering, Chung Cheng Institute of Technology, National D
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Jen Chih‐wei
Reinforcement Headquarters Ministry Of National Defense Taipei Twn
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